Evidence map›Paper›PMID 36758962›Full record

ArticleEpidemiology and health2023

Data resource profile: the Korean Community Health Status Indicators (K-CHSI) database.

Hye-Eun Lee, Yeon-Gyeong Kim, Jin-Young Jeong, Dong-Hyun Kim

Abstract read
In one paragraph

Article in Epidemiology and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hye-Eun LeeDepartment of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Yeon-Gyeong KimInstitute of Social Medicine, Hallym University College of Medicine, Chuncheon, Korea.
Jin-Young JeongHallym Research Institute of Clinical Epidemiology, Hallym University College of Medicine, Chuncheon, Korea.
Dong-Hyun KimDepartment of Social and Preventive Medicine, Hallym University College of Medicine, Chuncheon, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Korean Community Health Status Indicators (K-CHSI) is a model-based database containing annual data on health outcomes and determinants at the municipal level (si/gun/gu-level regions, including mid-sized cities, counties, and districts). K-CHSI's health outcomes include overall mortality, disease incidence, prevalence rates, and self-reported health. Health determinants were measured in 5 domains: socio-demographic factors, health behaviors, social environment, physical environment, and the healthcare system. The data sources are 71 public databases, including Causes of Death Statistics, Cancer Registration Statistics, Community Health Survey, Population Census, and Census on Establishments and Statistics of Urban Plans. This dataset covers Korea's 17 metropolitan cities and provinces, with data from approximately 250 municipal regions (si/gun/gu). The current version of the database (DB version 1.3) was built using 12 years of data from 2008 to 2019. All data included in K-CHSI may be downloaded via the Korea Community Health Survey site, with no login requirement (https://chs.kdca.go.kr/chs/recsRoom/dataBaseMain.do). K-CHSI covers extensive health outcomes and health determinants at the municipal level over a period of more than 10 years, which enables ecological and time-series analyses of the relationships among various health outcomes and related factors.

Indexed as

EnvironmentHealth Status IndicatorsDatabases, FactualHealth SurveysHumansPublic HealthRepublic of KoreaHealth equityPopulation healthPublic health surveillanceSocial environment

Identifiers

PMID36758962
PMCPMC10581888

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.